from sklearn_benchmarks.reporting.hp_match import HpMatchReporting
reporting = HpMatchReporting(against_lib="onnx", config="config.yml", log_scale=True)
reporting.make_report()
We assume here there is a perfect match between the hyperparameters of both librairies. For a given set of parameters and a given dataset, we compute the speedup
time scikit-learn / time onnx. For instance, a speedup of 2 means that onnx is twice as fast as scikit-learn for a given set of parameters and a given dataset.
KNeighborsClassifier_brute_force¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=brute.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | algorithm | n_jobs | n_neighbors | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | e70d8e7886766d41f30889506baa1e67 | 2cf49829391aa7891e877f2ed070adf0 | 2.089471 | 0.179977 | NaN | ... | brute | -1 | 1 | 0.663 | 0.310865 | 0.007162 | 1.000 | 6.721481 | 6.723264 | 0.337 |
| 2 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | e70d8e7886766d41f30889506baa1e67 | 2cf49829391aa7891e877f2ed070adf0 | 0.025118 | 0.002184 | NaN | ... | brute | -1 | 1 | 1.000 | 17.124995 | 0.183943 | 0.757 | 0.001467 | 0.001467 | 0.243 |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 22d5eac4a4146149b35eae6914921514 | 2cf49829391aa7891e877f2ed070adf0 | 2.932399 | 0.052733 | NaN | ... | brute | -1 | 5 | 0.757 | 16.969067 | 0.010442 | 0.882 | 0.172808 | 0.172809 | 0.125 |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 16f94fc93942ff7ece860c9b0f64645f | 2cf49829391aa7891e877f2ed070adf0 | 2.060044 | 0.005000 | NaN | ... | brute | 1 | 100 | 0.882 | 0.317820 | 0.004952 | 1.000 | 6.481800 | 6.482587 | 0.118 |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 16f94fc93942ff7ece860c9b0f64645f | 2cf49829391aa7891e877f2ed070adf0 | 0.021647 | 0.000338 | NaN | ... | brute | 1 | 100 | 1.000 | 17.019915 | 0.055487 | 0.757 | 0.001272 | 0.001272 | 0.243 |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2d5f2b2c02d77766434d9e5033b4a76c | 2cf49829391aa7891e877f2ed070adf0 | 2.983173 | 0.040908 | NaN | ... | brute | -1 | 100 | 0.882 | 17.369627 | 0.046000 | 0.663 | 0.171747 | 0.171747 | 0.219 |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | efac583623711d395ddae7a1e881ff68 | 2cf49829391aa7891e877f2ed070adf0 | 2.052457 | 0.007466 | NaN | ... | brute | 1 | 5 | 0.757 | 0.236219 | 0.003240 | 1.000 | 8.688776 | 8.689593 | 0.243 |
| 14 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | efac583623711d395ddae7a1e881ff68 | 2cf49829391aa7891e877f2ed070adf0 | 0.020573 | 0.000466 | NaN | ... | brute | 1 | 5 | 1.000 | 3.708129 | 0.008333 | 0.922 | 0.005548 | 0.005548 | 0.078 |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | b79d63bb7670c492de5c3befac58fe29 | 2cf49829391aa7891e877f2ed070adf0 | 1.194637 | 0.011474 | NaN | ... | brute | 1 | 1 | 0.663 | 3.748850 | 0.015796 | 0.929 | 0.318668 | 0.318671 | 0.266 |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | e70d8e7886766d41f30889506baa1e67 | 88843f54689e3271092f70126e1de585 | 1.865892 | 0.016249 | NaN | ... | brute | -1 | 1 | 0.896 | 0.239038 | 0.004342 | 1.000 | 7.805847 | 7.807134 | 0.104 |
| 20 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | e70d8e7886766d41f30889506baa1e67 | 88843f54689e3271092f70126e1de585 | 0.006118 | 0.004813 | NaN | ... | brute | -1 | 1 | 1.000 | 3.718485 | 0.014296 | 0.922 | 0.001645 | 0.001645 | 0.078 |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 22d5eac4a4146149b35eae6914921514 | 88843f54689e3271092f70126e1de585 | 2.716382 | 0.017446 | NaN | ... | brute | -1 | 5 | 0.922 | 3.752791 | 0.007130 | 0.896 | 0.723830 | 0.723831 | 0.026 |
12 rows × 22 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.001 | 6.860 | 0.0 | -1 | 1 | 17.330 | 0.040 | 0.663 | 0.001 | 0.001 | See | See |
| 3 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.000 | 6.828 | 0.0 | -1 | 5 | 0.314 | 0.005 | 1.000 | 0.037 | 0.037 | See | See |
| 6 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.000 | 6.827 | 0.0 | 1 | 100 | 17.341 | 0.032 | 0.882 | 0.001 | 0.001 | See | See |
| 9 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.000 | 6.892 | 0.0 | -1 | 100 | 0.315 | 0.006 | 1.000 | 0.037 | 0.037 | See | See |
| 12 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.000 | 6.970 | 0.0 | 1 | 5 | 3.765 | 0.008 | 0.896 | 0.003 | 0.003 | See | See |
| 15 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.000 | 7.018 | 0.0 | 1 | 1 | 0.237 | 0.004 | 1.000 | 0.048 | 0.048 | See | See |
| 18 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.000 | 0.374 | 0.0 | -1 | 1 | 3.762 | 0.026 | 0.929 | 0.001 | 0.001 | See | See |
| 21 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.000 | 0.375 | 0.0 | -1 | 5 | 0.238 | 0.004 | 1.000 | 0.018 | 0.018 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.089 | 0.180 | 0.000 | 0.002 | -1 | 1 | 0.311 | 0.007 | 1.000 | 6.721 | 6.723 | See | See |
| 2 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.025 | 0.002 | 0.000 | 0.025 | -1 | 1 | 17.125 | 0.184 | 0.757 | 0.001 | 0.001 | See | See |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.932 | 0.053 | 0.000 | 0.003 | -1 | 5 | 16.969 | 0.010 | 0.882 | 0.173 | 0.173 | See | See |
| 5 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.025 | 0.002 | 0.000 | 0.025 | -1 | 5 | 0.317 | 0.005 | 1.000 | 0.078 | 0.078 | See | See |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.060 | 0.005 | 0.000 | 0.002 | 1 | 100 | 0.318 | 0.005 | 1.000 | 6.482 | 6.483 | See | See |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.022 | 0.000 | 0.000 | 0.022 | 1 | 100 | 17.020 | 0.055 | 0.757 | 0.001 | 0.001 | See | See |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.983 | 0.041 | 0.000 | 0.003 | -1 | 100 | 17.370 | 0.046 | 0.663 | 0.172 | 0.172 | See | See |
| 11 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.026 | 0.004 | 0.000 | 0.026 | -1 | 100 | 0.319 | 0.005 | 1.000 | 0.082 | 0.082 | See | See |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.052 | 0.007 | 0.000 | 0.002 | 1 | 5 | 0.236 | 0.003 | 1.000 | 8.689 | 8.690 | See | See |
| 14 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.021 | 0.000 | 0.000 | 0.021 | 1 | 5 | 3.708 | 0.008 | 0.922 | 0.006 | 0.006 | See | See |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.195 | 0.011 | 0.001 | 0.001 | 1 | 1 | 3.749 | 0.016 | 0.929 | 0.319 | 0.319 | See | See |
| 17 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.020 | 0.002 | 0.000 | 0.020 | 1 | 1 | 0.239 | 0.005 | 1.000 | 0.085 | 0.085 | See | See |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.866 | 0.016 | 0.000 | 0.002 | -1 | 1 | 0.239 | 0.004 | 1.000 | 7.806 | 7.807 | See | See |
| 20 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.006 | 0.005 | 0.000 | 0.006 | -1 | 1 | 3.718 | 0.014 | 0.922 | 0.002 | 0.002 | See | See |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 2.716 | 0.017 | 0.000 | 0.003 | -1 | 5 | 3.753 | 0.007 | 0.896 | 0.724 | 0.724 | See | See |
| 23 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.009 | 0.002 | 0.000 | 0.009 | -1 | 5 | 0.238 | 0.004 | 1.000 | 0.037 | 0.037 | See | See |
KNeighborsClassifier_kd_tree¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=kd_tree.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | algorithm | n_jobs | n_neighbors | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | fe8267e25dadb302ed498e50fabf7ef4 | 1eb6cf1a720a225efb91df0b529b0510 | 0.844469 | 0.976965 | NaN | ... | kd_tree | -1 | 1 | 0.929 | 2.582057 | 0.222149 | 1.000 | 0.327053 | 0.328261 | 0.071 |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | fe8267e25dadb302ed498e50fabf7ef4 | 1eb6cf1a720a225efb91df0b529b0510 | 0.002536 | 0.000441 | NaN | ... | kd_tree | -1 | 1 | 1.000 | 112.735469 | 0.000000 | 0.946 | 0.000022 | 0.000022 | 0.054 |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | dc74b969bf622bc24ba3bc62c980983b | 1eb6cf1a720a225efb91df0b529b0510 | 1.026248 | 0.294924 | NaN | ... | kd_tree | -1 | 5 | 0.946 | 114.529535 | 0.000000 | 0.951 | 0.008961 | 0.008961 | 0.005 |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 41accfcdcd5c50784bedf6164b63de99 | 1eb6cf1a720a225efb91df0b529b0510 | 6.051497 | 0.298986 | NaN | ... | kd_tree | 1 | 100 | 0.951 | 2.582627 | 0.155704 | 1.000 | 2.343156 | 2.347410 | 0.049 |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 41accfcdcd5c50784bedf6164b63de99 | 1eb6cf1a720a225efb91df0b529b0510 | 0.004794 | 0.001031 | NaN | ... | kd_tree | 1 | 100 | 1.000 | 114.640923 | 0.000000 | 0.946 | 0.000042 | 0.000042 | 0.054 |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 022f7445d43bb1dbc24dc3106c03cb93 | 1eb6cf1a720a225efb91df0b529b0510 | 3.220000 | 0.165930 | NaN | ... | kd_tree | -1 | 100 | 0.951 | 115.427974 | 0.000000 | 0.929 | 0.027896 | 0.027896 | 0.022 |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 84622ba45e941db642965553529e1941 | 1eb6cf1a720a225efb91df0b529b0510 | 1.731796 | 0.218939 | NaN | ... | kd_tree | 1 | 5 | 0.946 | 0.004967 | 0.000113 | 1.000 | 348.631641 | 348.722490 | 0.054 |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 84622ba45e941db642965553529e1941 | 1eb6cf1a720a225efb91df0b529b0510 | 0.001484 | 0.000412 | NaN | ... | kd_tree | 1 | 5 | 1.000 | 0.039421 | 0.000478 | 0.911 | 0.037649 | 0.037652 | 0.089 |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | a9455565db1d8e052a783317c99744ff | 1eb6cf1a720a225efb91df0b529b0510 | 0.940384 | 0.253248 | NaN | ... | kd_tree | 1 | 1 | 0.929 | 0.060429 | 0.000117 | 0.894 | 15.561717 | 15.561746 | 0.035 |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | fe8267e25dadb302ed498e50fabf7ef4 | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.024905 | 0.011997 | NaN | ... | kd_tree | -1 | 1 | 0.891 | 0.005021 | 0.000111 | 1.000 | 4.959880 | 4.961100 | 0.109 |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | fe8267e25dadb302ed498e50fabf7ef4 | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.002029 | 0.000258 | NaN | ... | kd_tree | -1 | 1 | 1.000 | 0.038964 | 0.000453 | 0.911 | 0.052077 | 0.052080 | 0.089 |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | dc74b969bf622bc24ba3bc62c980983b | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.022914 | 0.000642 | NaN | ... | kd_tree | -1 | 5 | 0.911 | 0.038542 | 0.000291 | 0.891 | 0.594509 | 0.594526 | 0.020 |
12 rows × 22 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.520 | 0.075 | 0.023 | 0.0 | -1 | 1 | 114.436 | 0.000 | 0.929 | 0.031 | 0.031 | See | See |
| 3 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.918 | 0.057 | 0.020 | 0.0 | -1 | 5 | 2.596 | 0.175 | 1.000 | 1.509 | 1.513 | See | See |
| 6 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.848 | 0.097 | 0.021 | 0.0 | 1 | 100 | 113.991 | 0.000 | 0.951 | 0.034 | 0.034 | See | See |
| 9 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 4.423 | 0.076 | 0.018 | 0.0 | -1 | 100 | 2.572 | 0.167 | 1.000 | 1.720 | 1.723 | See | See |
| 12 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 4.274 | 0.043 | 0.019 | 0.0 | 1 | 5 | 0.041 | 0.010 | 0.891 | 103.144 | 106.387 | See | See |
| 15 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.853 | 0.057 | 0.021 | 0.0 | 1 | 1 | 0.005 | 0.000 | 1.000 | 768.119 | 768.428 | See | See |
| 18 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.001 | 0.021 | 0.0 | -1 | 1 | 0.061 | 0.000 | 0.894 | 0.012 | 0.012 | See | See |
| 21 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.032 | 0.0 | -1 | 5 | 0.005 | 0.000 | 1.000 | 0.102 | 0.102 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.844 | 0.977 | 0.000 | 0.001 | -1 | 1 | 2.582 | 0.222 | 1.000 | 0.327 | 0.328 | See | See |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.000 | 0.000 | 0.003 | -1 | 1 | 112.735 | 0.000 | 0.946 | 0.000 | 0.000 | See | See |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.026 | 0.295 | 0.000 | 0.001 | -1 | 5 | 114.530 | 0.000 | 0.951 | 0.009 | 0.009 | See | See |
| 5 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | 0.000 | 0.003 | -1 | 5 | 2.603 | 0.184 | 1.000 | 0.001 | 0.001 | See | See |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 6.051 | 0.299 | 0.000 | 0.006 | 1 | 100 | 2.583 | 0.156 | 1.000 | 2.343 | 2.347 | See | See |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.005 | 0.001 | 0.000 | 0.005 | 1 | 100 | 114.641 | 0.000 | 0.946 | 0.000 | 0.000 | See | See |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 3.220 | 0.166 | 0.000 | 0.003 | -1 | 100 | 115.428 | 0.000 | 0.929 | 0.028 | 0.028 | See | See |
| 11 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.005 | 0.001 | 0.000 | 0.005 | -1 | 100 | 2.587 | 0.164 | 1.000 | 0.002 | 0.002 | See | See |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.732 | 0.219 | 0.000 | 0.002 | 1 | 5 | 0.005 | 0.000 | 1.000 | 348.632 | 348.722 | See | See |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 5 | 0.039 | 0.000 | 0.911 | 0.038 | 0.038 | See | See |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.940 | 0.253 | 0.000 | 0.001 | 1 | 1 | 0.060 | 0.000 | 0.894 | 15.562 | 15.562 | See | See |
| 17 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 1 | 0.005 | 0.000 | 1.000 | 0.195 | 0.195 | See | See |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.025 | 0.012 | 0.001 | 0.000 | -1 | 1 | 0.005 | 0.000 | 1.000 | 4.960 | 4.961 | See | See |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 1 | 0.039 | 0.000 | 0.911 | 0.052 | 0.052 | See | See |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.023 | 0.001 | 0.001 | 0.000 | -1 | 5 | 0.039 | 0.000 | 0.891 | 0.595 | 0.595 | See | See |
| 23 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 5 | 0.005 | 0.000 | 1.000 | 0.399 | 0.399 | See | See |
HistGradientBoostingClassifier_best¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: learning_rate=0.01, n_iter_no_change=10.0, max_leaf_nodes=100.0, max_bins=255.0, min_samples_leaf=100.0, max_iter=300.0.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | max_leaf_nodes | min_samples_leaf | n_iter_no_change | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | HistGradientBoostingClassifier_best | predict | 100000 | 1000 | 100 | 25b9f14bed7dd5d830c6ccd4dfebbf0c | 8c8fffa8ec4b2d8de833421f9e32beab | 0.111521 | 0.002679 | 300 | ... | 100 | 100 | 10 | 0.824 | 0.422142 | 0.007131 | 1.0 | 0.264178 | 0.264216 | 0.176 |
1 rows × 25 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | HistGradientBoostingClassifier_best | fit | 100000 | 100000 | 100 | 95.753 | 0.0 | 300 | 0.001 | 0.001 | 0.504 | 0.022 | 0.824 | 189.994 | 190.173 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | HistGradientBoostingClassifier_best | predict | 100000 | 1000 | 100 | 0.112 | 0.003 | 300 | 0.007 | 0.0 | 0.422 | 0.007 | 1.0 | 0.264 | 0.264 | See | See |